SARS-CoV-2 detection and inactivation in water and wastewater : review on analytical methods, limitations and future research recommendations

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been detected in wastewater. Wastewater-based epidemiology (WBE) is a practical and cost-effective tool for the assessment and controlling of pandemics and probably for examining SARS-CoV-2 presence. Implementation of WBE during the outbreaks is not without limitations. Temperature, suspended solids, pH, and disinfectants affect the stability of viruses in wastewater. Due to these limitations, instruments and techniques have been utilized to detect SARS-CoV-2. SARS-CoV-2 has been detected in sewage using various concentration methods and computer-aided analyzes. RT-qPCR, ddRT-PCR, multiplex PCR, RT-LAMP, and electrochemical immunosensors have been employed to detect low levels of viral contamination. Inactivation of SARS-CoV-2 is a crucial preventive measure against coronavirus disease 2019 (COVID-19). To better assess the role of wastewater as a transmission route, detection, and quantification methods need to be refined. In this paper, the latest improvements in quantification, detection, and inactivation of SARS-CoV-2 in wastewater are explained. Finally, limitations and future research recommendations are thoroughly described.

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:12

Enthalten in:

Emerging microbes & infections - 12(2023), 2 vom: 15. Dez., Seite 2222850

Sprache:

Englisch

Beteiligte Personen:

Kallem, Parashuram [VerfasserIn]
Hegab, Hanaa [VerfasserIn]
Alsafar, Habiba [VerfasserIn]
Hasan, Shadi W [VerfasserIn]
Banat, Fawzi [VerfasserIn]

Links:

Volltext

Themen:

059QF0KO0R
Detection
Epidemiology
Inactivation
Journal Article
Review
SARS-CoV-2
Wastewater
Water

Anmerkungen:

Date Completed 23.06.2023

Date Revised 04.07.2023

published: Print

Citation Status MEDLINE

doi:

10.1080/22221751.2023.2222850

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM357810805